AI agents use refund_charge to commit financial operations through Mcp Afip — usually the final step of a payment, billing, or trading workflow. A call moves real money.
Refunding a charge is a financial operation that moves money and alters monetary obligations. Even though refunds are reversible (the original charge can be re-applied), the tool itself executes an irreversible financial commitment in the moment it is called. Misuse could cause unwanted refunds, revenue loss, or disputes.
From the tool's definition Tool name is 'refund_charge' and description states 'Refund a charge' — this directly commits a financial transaction that reverses a monetary charge, moving money back to a customer.
Documented attack patterns abuse exactly the kind of access refund_charge gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for refund_charge:
{
"version": "1",
"default": "deny",
"tools": {
"refund_charge": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to refund_charge is blocked until a human approves it. The rest of the server keeps working.
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Refund a charge. It is categorised as a Financial tool in the Mcp Afip MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for refund_charge: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Afip. Nothing to install.
refund_charge is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the refund_charge rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for refund_charge. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
refund_charge is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Afip, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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